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2003 | OriginalPaper | Buchkapitel

A New Reference Point Detection Algorithm Based on Orientation Pattern Labeling in Fingerprint Images

verfasst von : Chul-Hyun Park, Sang-Keun Oh, Dong-Min Kwak, Bum-Soo Kim, Young-Chul Song, Kil-Houm Park

Erschienen in: Pattern Recognition and Image Analysis

Verlag: Springer Berlin Heidelberg

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Most fingerprint-based biometric systems establish a reference point in a fingerprint, then extract features based on this reference point. As such, the consistency and accuracy of the reference point location considerably affects the overall system performance. Accordingly, this paper presents an accurate and consistent reference point detection algorithm based on orientation pattern labeling. Experimental results demonstrate that the proposed method can produce a better performance in terms of accuracy and speed than Poincaré index or sine map-based methods.

Metadaten
Titel
A New Reference Point Detection Algorithm Based on Orientation Pattern Labeling in Fingerprint Images
verfasst von
Chul-Hyun Park
Sang-Keun Oh
Dong-Min Kwak
Bum-Soo Kim
Young-Chul Song
Kil-Houm Park
Copyright-Jahr
2003
Verlag
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-540-44871-6_81

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